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    Enables MCP-compatible AI agents to run structured searches over India's court judgments, tribunal matters, and legislation directly from Hugging Face parquet files, with automatic license attribution.
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    Apache 2.0
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    Enables MCP clients to drive a LEGO Mindstorms EV3 over Wi-Fi SSH, with tools for movement, turning, stopping, beeping, and listing connected devices. Includes a CLI chat client that translates natural language into robot commands via Hugging Face Inference Providers.
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    Enables generating game assets — images, 3D meshes, sound and music — through free Hugging Face Spaces with no GPU or subscription, plus procedural synthesizers that consume no quota at all. Adds licence gating, per-take provenance metadata, and post-processing such as audio trimming/looping/normalising and six-angle Blender mesh renders.
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    MIT
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    Enables searching and gathering information from multiple online sources (web, Twitter/X, Telegram, GitHub, Hugging Face, arXiv) through a unified MCP interface.
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    Supercharges Claude Desktop with persistent semantic memory, sandboxed file I/O, live web search, and local emotional intelligence using a local ChromaDB and Hugging Face model.
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    This MCP server enables users to interact with and analyze the dair-ai/emotion dataset from Hugging Face containing labeled Twitter messages. It provides tools to sample data, search text, and perform statistical analysis on emotion distributions.
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    GPL 3.0
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    Enables agents to trace any Hugging Face model's ancestry and descendants, find the most finetuned base models, and explore whole model families. It exposes tools for lineage, children, leaderboards, family views, and model search, answering from nightly-rebuilt index data.
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    MIT
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    Enables AI agents to search and read Mexican federal, state and municipal legislation, retrieving the current text or the version in force on any past date, comparing reform versions, tracing amendment history and returning official links for citation. It runs locally or as an optional HTTP server, pulling the search index from Hugging Face and text and history from a public GitHub repository, with optional live extraction from official portals.
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    Typed MCP server for Hugging Face LeRobot workflows. Provides a structured, auditable interface for LeRobot CLI, examples, datasets, and dataset conversion.
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    16 PyPI
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    Apache 2.0
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    Exposes safe JSON contracts for validating and preparing datasets, running supervised fine-tuning, preference learning, RL, distillation, and evaluation, and managing checkpoints and exports through the Tinker SDK and Cookbook. It lets agents discover models and Hugging Face datasets, plan and execute training recipes, compare experiments, and export selected models.
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    Apache 2.0
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    Make UGC videos for mobile apps with AI influencers who keep the same face, from any MCP client. Create a character, generate new looks, turn a look into a 5 or 10 second clip, add your app screen recording and a hook, then download the finished vertical video. Needs a ClipUGC API key.
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    97 npm
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    MIT